Comparing the Performance of Classical and Deep Learning Methods on Small Image Datasets
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-98883-8_8
Reference10 articles.
1. Zhou, S.K., et al.: A review of deep learning in medical imaging: imaging traits, technology trends, case studies with progress highlights, and future promises. Proc. IEEE 109(5), 820–838 (2021)
2. Litjens, G., et al.: A survey on deep learning in medical image analysis. Med. Image Anal. 42, 60–88 (2017)
3. Aeffner, F., et al.: Introduction to digital image analysis in whole-slide imaging: a white paper from the digital pathology association. J. Pathol. Inform. 10(1), 1–17 (2019)
4. Veta, M., Heng, J.Y., Stathonikos, N., Bejnordi, E.B., Beca, F., et al.: Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge. Med. Image Anal. 54, 111–121 (2019)
5. Bejnordi, B.E., Veta, M., van Diest, P.J., van Ginneken, B., Karssemeijer, P.J.N., et al.: Diagnostic assessment of deep learning algorithms for detection of lymph node metas-tases in women with breast cancer. J. Am. Med. Assoc. 318(22), 2199–2210 (2017)
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